{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "3c8ab648-f278-432e-86c5-3402bc975b83",
   "metadata": {},
   "outputs": [],
   "source": [
    "#导包\n",
    "import  numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib as mpl\n",
    "import seaborn as sns\n",
    "%matplotlib inline\n",
    "plt.rcParams['font.family']=['SimHei']#显示中文标签\n",
    "plt.rcParams['axes.unicode_minus']=False#用来正常显示负号"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "a60da6e3-4125-4064-beec-48729c1d4603",
   "metadata": {},
   "outputs": [],
   "source": [
    "data=pd.read_excel(r\"F:\\大三上\\数据分析与数据挖掘\\03\\小课\\数据源\\各化妆品销量.xlsx\", header=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "531abcbe",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 31 entries, 0 to 30\n",
      "Data columns (total 6 columns):\n",
      " #   Column  Non-Null Count  Dtype         \n",
      "---  ------  --------------  -----         \n",
      " 0   日期      31 non-null     datetime64[ns]\n",
      " 1   肤用化妆品   31 non-null     int64         \n",
      " 2   发用化妆品   31 non-null     int64         \n",
      " 3   美容化妆品   31 non-null     int64         \n",
      " 4   疗效化妆品   31 non-null     int64         \n",
      " 5   总销量     31 non-null     int64         \n",
      "dtypes: datetime64[ns](1), int64(5)\n",
      "memory usage: 1.6 KB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "e8678e7e-2a36-423d-9370-419f678322f3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "          肤用化妆品     发用化妆品     美容化妆品     疗效化妆品       总销量\n",
      "肤用化妆品  1.000000  0.827765  0.866721  0.855292  0.931947\n",
      "发用化妆品  0.827765  1.000000  0.912335  0.890424  0.953423\n",
      "美容化妆品  0.866721  0.912335  1.000000  0.911773  0.968260\n",
      "疗效化妆品  0.855292  0.890424  0.911773  1.000000  0.957942\n",
      "总销量    0.931947  0.953423  0.968260  0.957942  1.000000\n"
     ]
    }
   ],
   "source": [
    "print(data.corr())#"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "23a0582c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "          肤用化妆品     发用化妆品     美容化妆品     疗效化妆品       总销量\n",
      "肤用化妆品  1.000000  0.584948  0.707484  0.655771  0.900464\n",
      "发用化妆品  0.584948  1.000000  0.638676  0.561377  0.725025\n",
      "美容化妆品  0.707484  0.638676  1.000000  0.658054  0.836663\n",
      "疗效化妆品  0.655771  0.561377  0.658054  1.000000  0.743693\n",
      "总销量    0.900464  0.725025  0.836663  0.743693  1.000000\n"
     ]
    }
   ],
   "source": [
    "print(data.corr(method='spearman'))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f69ba3a4",
   "metadata": {},
   "source": [
    "#### 周期性分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "45f7d9dc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "相关性矩阵：\n",
      "          肤用化妆品     发用化妆品     美容化妆品     疗效化妆品       总销量\n",
      "肤用化妆品  1.000000  0.827765  0.866721  0.855292  0.931947\n",
      "发用化妆品  0.827765  1.000000  0.912335  0.890424  0.953423\n",
      "美容化妆品  0.866721  0.912335  1.000000  0.911773  0.968260\n",
      "疗效化妆品  0.855292  0.890424  0.911773  1.000000  0.957942\n",
      "总销量    0.931947  0.953423  0.968260  0.957942  1.000000\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "from statsmodels.tsa.seasonal import seasonal_decompose\n",
    "\n",
    "# 将日期列设置为索引\n",
    "data['日期'] = pd.to_datetime(data['日期'])\n",
    "data.set_index('日期', inplace=True)\n",
    "\n",
    "# 相关性分析\n",
    "correlation_matrix = data.corr()\n",
    "print(\"相关性矩阵：\")\n",
    "print(correlation_matrix)\n",
    "\n",
    "# 绘制热图来可视化相关性矩阵\n",
    "plt.figure(figsize=(10, 8))\n",
    "plt.title('Correlation Matrix')\n",
    "sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm')\n",
    "plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "3c715428",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 周期性分析\n",
    "# 选择一个数据列进行周期性分析，这里以'肤用化妆品'为例\n",
    "decomposition = seasonal_decompose(data[\"肤用化妆品\"], model='additive', period=7)  # 假设周期为7天\n",
    "decomposition.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0e285a31",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "# 打印趋势、季节性和残差\n",
    "print(\"趋势：\")\n",
    "print(decomposition.trend)\n",
    "print(\"季节性：\")\n",
    "print(decomposition.seasonal)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "a274e2ad",
   "metadata": {},
   "outputs": [
    {
     "ename": "KeyError",
     "evalue": "'日期'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "File \u001b[1;32mD:\\python\\Anaconda\\lib\\site-packages\\pandas\\core\\indexes\\base.py:3629\u001b[0m, in \u001b[0;36mIndex.get_loc\u001b[1;34m(self, key, method, tolerance)\u001b[0m\n\u001b[0;32m   3628\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m-> 3629\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_engine\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_loc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcasted_key\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m   3630\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m err:\n",
      "File \u001b[1;32mD:\\python\\Anaconda\\lib\\site-packages\\pandas\\_libs\\index.pyx:136\u001b[0m, in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[1;34m()\u001b[0m\n",
      "File \u001b[1;32mD:\\python\\Anaconda\\lib\\site-packages\\pandas\\_libs\\index.pyx:163\u001b[0m, in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[1;34m()\u001b[0m\n",
      "File \u001b[1;32mpandas\\_libs\\hashtable_class_helper.pxi:5198\u001b[0m, in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[1;34m()\u001b[0m\n",
      "File \u001b[1;32mpandas\\_libs\\hashtable_class_helper.pxi:5206\u001b[0m, in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;31mKeyError\u001b[0m: '日期'",
      "\nThe above exception was the direct cause of the following exception:\n",
      "\u001b[1;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[19], line 3\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mmatplotlib\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpyplot\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mplt\u001b[39;00m\n\u001b[0;32m      2\u001b[0m plt\u001b[38;5;241m.\u001b[39mfigure(figsize\u001b[38;5;241m=\u001b[39m(\u001b[38;5;241m8\u001b[39m,\u001b[38;5;241m4\u001b[39m))\n\u001b[1;32m----> 3\u001b[0m plt\u001b[38;5;241m.\u001b[39mplot(\u001b[43mdata\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m日期\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m,data[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m肤用化妆品\u001b[39m\u001b[38;5;124m'\u001b[39m])\n\u001b[0;32m      4\u001b[0m plt\u001b[38;5;241m.\u001b[39mxlabel(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m日期\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m      5\u001b[0m x_major_locator\u001b[38;5;241m=\u001b[39mplt\u001b[38;5;241m.\u001b[39mMultipleLocator(\u001b[38;5;241m7\u001b[39m)\n",
      "File \u001b[1;32mD:\\python\\Anaconda\\lib\\site-packages\\pandas\\core\\frame.py:3505\u001b[0m, in \u001b[0;36mDataFrame.__getitem__\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m   3503\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcolumns\u001b[38;5;241m.\u001b[39mnlevels \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m1\u001b[39m:\n\u001b[0;32m   3504\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_getitem_multilevel(key)\n\u001b[1;32m-> 3505\u001b[0m indexer \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcolumns\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_loc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkey\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m   3506\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m is_integer(indexer):\n\u001b[0;32m   3507\u001b[0m     indexer \u001b[38;5;241m=\u001b[39m [indexer]\n",
      "File \u001b[1;32mD:\\python\\Anaconda\\lib\\site-packages\\pandas\\core\\indexes\\base.py:3631\u001b[0m, in \u001b[0;36mIndex.get_loc\u001b[1;34m(self, key, method, tolerance)\u001b[0m\n\u001b[0;32m   3629\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_engine\u001b[38;5;241m.\u001b[39mget_loc(casted_key)\n\u001b[0;32m   3630\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m err:\n\u001b[1;32m-> 3631\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(key) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01merr\u001b[39;00m\n\u001b[0;32m   3632\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m:\n\u001b[0;32m   3633\u001b[0m     \u001b[38;5;66;03m# If we have a listlike key, _check_indexing_error will raise\u001b[39;00m\n\u001b[0;32m   3634\u001b[0m     \u001b[38;5;66;03m#  InvalidIndexError. Otherwise we fall through and re-raise\u001b[39;00m\n\u001b[0;32m   3635\u001b[0m     \u001b[38;5;66;03m#  the TypeError.\u001b[39;00m\n\u001b[0;32m   3636\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_check_indexing_error(key)\n",
      "\u001b[1;31mKeyError\u001b[0m: '日期'"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 800x400 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "plt.figure(figsize=(8,4))\n",
    "plt.plot(data['日期'],data['肤用化妆品','发用化妆品','美容化妆品','疗效化妆品','总销量'])\n",
    "plt.xlabel('日期')\n",
    "x_major_locator=plt.MultipleLocator(7)\n",
    "ax=plt.gca()\n",
    "ax.xaxis.set_major_locator(x_major_locator)\n",
    "plt.ylabel('销售量')\n",
    "plt.title('销售量趋势')\n",
    "plt.rcParams['font.sans-serif']=['SimHei']\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "47f17413",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "\n",
    "# 假设data是一个DataFrame，包含日期和各类化妆品的销售量\n",
    "data = pd.DataFrame({\n",
    "    '日期': pd.date_range(start='2024-01-01', periods=100),\n",
    "    '肤用化妆品': np.random.randint(100, 1000, size=100),\n",
    "    '发用化妆品': np.random.randint(100, 1000, size=100),\n",
    "    '美容化妆品': np.random.randint(100, 1000, size=100),\n",
    "    '疗效化妆品': np.random.randint(100, 1000, size=100),\n",
    "    '总销量': np.random.randint(100, 1000, size=100)\n",
    "})\n",
    "\n",
    "# 设置图表大小\n",
    "plt.figure(figsize=(12, 8))\n",
    "\n",
    "# 化妆品类别列表\n",
    "categories = ['肤用化妆品', '发用化妆品', '美容化妆品', '疗效化妆品', '总销量']\n",
    "\n",
    "# 绘制子图\n",
    "for i, category in enumerate(categories, 1):\n",
    "    plt.subplot(3, 2, i)  # 3行2列的子图布局\n",
    "    plt.plot(data['日期'], data[category])\n",
    "    plt.xlabel('日期')\n",
    "    plt.ylabel(category)\n",
    "    plt.title(category + '销售量趋势')\n",
    "    plt.gca().xaxis.set_major_locator(plt.MultipleLocator(10))  # 设置x轴主刻度间隔\n",
    "\n",
    "# 设置字体，确保中文显示正常\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']\n",
    "\n",
    "# 调整子图间距\n",
    "plt.tight_layout()\n",
    "\n",
    "# 显示图表\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "aea702d7",
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "cannot perform __rmul__ with this index type: DatetimeArray",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[25], line 9\u001b[0m\n\u001b[0;32m      7\u001b[0m df\u001b[38;5;241m.\u001b[39mplot(kind\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mbar\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m      8\u001b[0m plt\u001b[38;5;241m.\u001b[39mylabel(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m总销售量\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m----> 9\u001b[0m p\u001b[38;5;241m=\u001b[39m\u001b[38;5;241;43m1.0\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mdata\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcumsum\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241m/\u001b[39mdf\u001b[38;5;241m.\u001b[39msum()\n\u001b[0;32m     10\u001b[0m p\u001b[38;5;241m.\u001b[39mplot(color\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mr\u001b[39m\u001b[38;5;124m'\u001b[39m,secondary_y\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m,style\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m-o\u001b[39m\u001b[38;5;124m'\u001b[39m,linewidth\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m2\u001b[39m)\n\u001b[0;32m     11\u001b[0m plt\u001b[38;5;241m.\u001b[39mannotate(\u001b[38;5;28mformat\u001b[39m(p[\u001b[38;5;241m6\u001b[39m],\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m.4\u001b[39m\u001b[38;5;124m%\u001b[39m\u001b[38;5;124m'\u001b[39m),xy\u001b[38;5;241m=\u001b[39m(\u001b[38;5;241m6\u001b[39m,p[\u001b[38;5;241m6\u001b[39m]),xytext\u001b[38;5;241m=\u001b[39m(\u001b[38;5;241m6\u001b[39m\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m0.9\u001b[39m,p[\u001b[38;5;241m6\u001b[39m]\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m0.9\u001b[39m),\n\u001b[0;32m     12\u001b[0m                                    arrowprops\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mdict\u001b[39m(arrowstyle\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m->\u001b[39m\u001b[38;5;124m'\u001b[39m,connectionstyle\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124marc3\u001b[39m\u001b[38;5;124m'\u001b[39m,rad\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m.2\u001b[39m\u001b[38;5;124m'\u001b[39m))\n",
      "File \u001b[1;32mD:\\python\\Anaconda\\lib\\site-packages\\pandas\\core\\ops\\common.py:70\u001b[0m, in \u001b[0;36m_unpack_zerodim_and_defer.<locals>.new_method\u001b[1;34m(self, other)\u001b[0m\n\u001b[0;32m     66\u001b[0m             \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mNotImplemented\u001b[39m\n\u001b[0;32m     68\u001b[0m other \u001b[38;5;241m=\u001b[39m item_from_zerodim(other)\n\u001b[1;32m---> 70\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mmethod\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mother\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[1;32mD:\\python\\Anaconda\\lib\\site-packages\\pandas\\core\\arraylike.py:120\u001b[0m, in \u001b[0;36mOpsMixin.__rmul__\u001b[1;34m(self, other)\u001b[0m\n\u001b[0;32m    118\u001b[0m \u001b[38;5;129m@unpack_zerodim_and_defer\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m__rmul__\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m    119\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__rmul__\u001b[39m(\u001b[38;5;28mself\u001b[39m, other):\n\u001b[1;32m--> 120\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_arith_method\u001b[49m\u001b[43m(\u001b[49m\u001b[43mother\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mroperator\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrmul\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[1;32mD:\\python\\Anaconda\\lib\\site-packages\\pandas\\core\\frame.py:6955\u001b[0m, in \u001b[0;36mDataFrame._arith_method\u001b[1;34m(self, other, op)\u001b[0m\n\u001b[0;32m   6951\u001b[0m other \u001b[38;5;241m=\u001b[39m ops\u001b[38;5;241m.\u001b[39mmaybe_prepare_scalar_for_op(other, (\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mshape[axis],))\n\u001b[0;32m   6953\u001b[0m \u001b[38;5;28mself\u001b[39m, other \u001b[38;5;241m=\u001b[39m ops\u001b[38;5;241m.\u001b[39malign_method_FRAME(\u001b[38;5;28mself\u001b[39m, other, axis, flex\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m, level\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m)\n\u001b[1;32m-> 6955\u001b[0m new_data \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_dispatch_frame_op\u001b[49m\u001b[43m(\u001b[49m\u001b[43mother\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mop\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43maxis\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43maxis\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m   6956\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_construct_result(new_data)\n",
      "File \u001b[1;32mD:\\python\\Anaconda\\lib\\site-packages\\pandas\\core\\frame.py:6982\u001b[0m, in \u001b[0;36mDataFrame._dispatch_frame_op\u001b[1;34m(self, right, func, axis)\u001b[0m\n\u001b[0;32m   6979\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m is_list_like(right):\n\u001b[0;32m   6980\u001b[0m     \u001b[38;5;66;03m# i.e. scalar, faster than checking np.ndim(right) == 0\u001b[39;00m\n\u001b[0;32m   6981\u001b[0m     \u001b[38;5;28;01mwith\u001b[39;00m np\u001b[38;5;241m.\u001b[39merrstate(\u001b[38;5;28mall\u001b[39m\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mignore\u001b[39m\u001b[38;5;124m\"\u001b[39m):\n\u001b[1;32m-> 6982\u001b[0m         bm \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_mgr\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mapply\u001b[49m\u001b[43m(\u001b[49m\u001b[43marray_op\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mright\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mright\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m   6983\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_constructor(bm)\n\u001b[0;32m   6985\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(right, DataFrame):\n",
      "File \u001b[1;32mD:\\python\\Anaconda\\lib\\site-packages\\pandas\\core\\internals\\managers.py:302\u001b[0m, in \u001b[0;36mBaseBlockManager.apply\u001b[1;34m(self, f, align_keys, ignore_failures, **kwargs)\u001b[0m\n\u001b[0;32m    300\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m    301\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mcallable\u001b[39m(f):\n\u001b[1;32m--> 302\u001b[0m         applied \u001b[38;5;241m=\u001b[39m b\u001b[38;5;241m.\u001b[39mapply(f, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[0;32m    303\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m    304\u001b[0m         applied \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mgetattr\u001b[39m(b, f)(\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n",
      "File \u001b[1;32mD:\\python\\Anaconda\\lib\\site-packages\\pandas\\core\\internals\\blocks.py:402\u001b[0m, in \u001b[0;36mBlock.apply\u001b[1;34m(self, func, **kwargs)\u001b[0m\n\u001b[0;32m    396\u001b[0m \u001b[38;5;129m@final\u001b[39m\n\u001b[0;32m    397\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mapply\u001b[39m(\u001b[38;5;28mself\u001b[39m, func, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;28mlist\u001b[39m[Block]:\n\u001b[0;32m    398\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m    399\u001b[0m \u001b[38;5;124;03m    apply the function to my values; return a block if we are not\u001b[39;00m\n\u001b[0;32m    400\u001b[0m \u001b[38;5;124;03m    one\u001b[39;00m\n\u001b[0;32m    401\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[1;32m--> 402\u001b[0m     result \u001b[38;5;241m=\u001b[39m func(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mvalues, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[0;32m    404\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_split_op_result(result)\n",
      "File \u001b[1;32mD:\\python\\Anaconda\\lib\\site-packages\\pandas\\core\\ops\\array_ops.py:216\u001b[0m, in \u001b[0;36marithmetic_op\u001b[1;34m(left, right, op)\u001b[0m\n\u001b[0;32m    203\u001b[0m \u001b[38;5;66;03m# NB: We assume that extract_array and ensure_wrapped_if_datetimelike\u001b[39;00m\n\u001b[0;32m    204\u001b[0m \u001b[38;5;66;03m#  have already been called on `left` and `right`,\u001b[39;00m\n\u001b[0;32m    205\u001b[0m \u001b[38;5;66;03m#  and `maybe_prepare_scalar_for_op` has already been called on `right`\u001b[39;00m\n\u001b[0;32m    206\u001b[0m \u001b[38;5;66;03m# We need to special-case datetime64/timedelta64 dtypes (e.g. because numpy\u001b[39;00m\n\u001b[0;32m    207\u001b[0m \u001b[38;5;66;03m# casts integer dtypes to timedelta64 when operating with timedelta64 - GH#22390)\u001b[39;00m\n\u001b[0;32m    209\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m (\n\u001b[0;32m    210\u001b[0m     should_extension_dispatch(left, right)\n\u001b[0;32m    211\u001b[0m     \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(right, (Timedelta, BaseOffset, Timestamp))\n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m    214\u001b[0m     \u001b[38;5;66;03m# Timedelta/Timestamp and other custom scalars are included in the check\u001b[39;00m\n\u001b[0;32m    215\u001b[0m     \u001b[38;5;66;03m# because numexpr will fail on it, see GH#31457\u001b[39;00m\n\u001b[1;32m--> 216\u001b[0m     res_values \u001b[38;5;241m=\u001b[39m \u001b[43mop\u001b[49m\u001b[43m(\u001b[49m\u001b[43mleft\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mright\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    217\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m    218\u001b[0m     \u001b[38;5;66;03m# TODO we should handle EAs consistently and move this check before the if/else\u001b[39;00m\n\u001b[0;32m    219\u001b[0m     \u001b[38;5;66;03m# (https://github.com/pandas-dev/pandas/issues/41165)\u001b[39;00m\n\u001b[0;32m    220\u001b[0m     _bool_arith_check(op, left, right)\n",
      "File \u001b[1;32mD:\\python\\Anaconda\\lib\\site-packages\\pandas\\core\\roperator.py:17\u001b[0m, in \u001b[0;36mrmul\u001b[1;34m(left, right)\u001b[0m\n\u001b[0;32m     16\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mrmul\u001b[39m(left, right):\n\u001b[1;32m---> 17\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mright\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mleft\u001b[49m\n",
      "File \u001b[1;32mD:\\python\\Anaconda\\lib\\site-packages\\pandas\\core\\ops\\invalid.py:53\u001b[0m, in \u001b[0;36mmake_invalid_op.<locals>.invalid_op\u001b[1;34m(self, other)\u001b[0m\n\u001b[0;32m     51\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21minvalid_op\u001b[39m(\u001b[38;5;28mself\u001b[39m, other\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m):\n\u001b[0;32m     52\u001b[0m     typ \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mtype\u001b[39m(\u001b[38;5;28mself\u001b[39m)\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m\n\u001b[1;32m---> 53\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcannot perform \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mname\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m with this index type: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mtyp\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n",
      "\u001b[1;31mTypeError\u001b[0m: cannot perform __rmul__ with this index type: DatetimeArray"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df=data['总销量'].copy()\n",
    "df.sort_values(ascending=False)\n",
    "import matplotlib.pyplot as plt\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']\n",
    "plt.rcParams['axes.unicode_minus']=False\n",
    "plt.figure()\n",
    "df.plot(kind='bar')\n",
    "plt.ylabel('总销售量')\n",
    "p=1.0*data.cumsum()/df.sum()\n",
    "p.plot(color='r',secondary_y=True,style='-o',linewidth=2)\n",
    "plt.annotate(format(p[6],'.4%'),xy=(6,p[6]),xytext=(6*0.9,p[6]*0.9),\n",
    "                                   arrowprops=dict(arrowstyle='->',connectionstyle='arc3',rad='.2'))\n",
    "plt.ylabel('销售比例')\n",
    "plt.title('各类型化妆品销售量')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "d0d7a936",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     A      B\n",
      "0  0.6   0.36\n",
      "1  0.7   0.49\n",
      "2  1.0   1.00\n",
      "3  2.1   4.41\n",
      "4  2.9   8.41\n",
      "5  3.2  10.24\n",
      "6  5.5  30.25\n",
      "7  6.7  44.89\n"
     ]
    }
   ],
   "source": [
    "data = [0.36, 0.49, 1,4.41,8.41,10.24,30.25,44.89]\n",
    "data1 = [0.6, 0.7, 1, 2.1, 2.9, 3.2, 5.5, 6.7]\n",
    "df = pd.DataFrame(data1, columns=['A'])\n",
    "\n",
    "# 第二个DataFrame的数据\n",
    "data2 = [0.36, 0.49, 1, 4.41, 8.41, 10.24, 30.25, 44.89]\n",
    "df1 = pd.DataFrame(data2, columns=['B'])\n",
    "\n",
    "# 合并两个DataFrame\n",
    "df_combined = pd.concat([df, df1], axis=1)\n",
    "\n",
    "# 显示合并后的DataFrame\n",
    "print(df_combined)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a4ae00a6",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "ad75227c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "          A         B\n",
      "A  1.000000  0.971762\n",
      "B  0.971762  1.000000\n"
     ]
    }
   ],
   "source": [
    "print(df_combined.corr())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "773fae0c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     A    B\n",
      "A  1.0  1.0\n",
      "B  1.0  1.0\n"
     ]
    }
   ],
   "source": [
    "print(df_combined.corr(method=\"spearman\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "b26a10a2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "皮尔逊系数\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>A</th>\n",
       "      <th>B</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>A</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.971762</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>B</th>\n",
       "      <td>0.971762</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          A         B\n",
       "A  1.000000  0.971762\n",
       "B  0.971762  1.000000"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "斯皮尔曼系数\n"
     ]
    },
    {
     "data": {
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       "      <th></th>\n",
       "      <th>A</th>\n",
       "      <th>B</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>A</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
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       "      <th>B</th>\n",
       "      <td>1.0</td>\n",
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       "     A    B\n",
       "A  1.0  1.0\n",
       "B  1.0  1.0"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "data={\"A\":[0.6,0.7,1,2.1,2.9,3.2,5.5,6.7],\n",
    "      \"B\":[0.36,0.49,1,4.41,8.41,10.24,30.25,44.89]}\n",
    "df=pd.DataFrame(data)\n",
    "a=df.corr(method=\"pearson\")\n",
    "b=df.corr(method=\"spearman\")\n",
    "print(\"皮尔逊系数\")\n",
    "display(a)\n",
    "print(\"斯皮尔曼系数\")\n",
    "display(b)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "17c6d25f",
   "metadata": {},
   "outputs": [],
   "source": [
    "df=pd.read_excel(r\"F:\\大三上\\数据分析与数据挖掘\\03\\小课\\数据源\\新零售智能销售设备6月份商品销售情况.xlsx\", header=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "943288d3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "商品销售贡献度分析：\n",
      "         商品名称    销售额贡献度   销售数量贡献度    盈利额贡献度\n",
      "0        泡椒凤爪  0.019497  0.015558  0.016662\n",
      "1       迷你小香肠  0.025298  0.030338  0.028448\n",
      "2       怡宝饮用水  0.056075  0.135356  0.053238\n",
      "3         小面筋  0.012327  0.013224  0.010973\n",
      "4         肉松饼  0.013777  0.011669  0.009076\n",
      "5       旺仔QQ糖  0.008782  0.010502  0.007451\n",
      "6       香酥小黄鱼  0.028199  0.022559  0.028448\n",
      "7         牛奶糖  0.026909  0.021392  0.031157\n",
      "8    统一小当家干脆面  0.013535  0.012835  0.010702\n",
      "9        乐事薯片  0.029649  0.020226  0.036305\n",
      "10         豆干  0.020625  0.019837  0.022758\n",
      "11       黑糖话梅  0.025137  0.017114  0.026145\n",
      "12        鱼豆腐  0.023284  0.018670  0.016798\n",
      "13        棒棒糖  0.021995  0.035395  0.021132\n",
      "14      金锣火腿肠  0.034241  0.041229  0.037388\n",
      "15      双汇烤香肠  0.028924  0.022948  0.026416\n",
      "16      日清方便面  0.028521  0.018281  0.028854\n",
      "17   统一汤达人方便面  0.030374  0.019448  0.034002\n",
      "18   康师傅红烧牛肉面  0.028037  0.020615  0.027770\n",
      "19  今麦郎一桶半方便面  0.031421  0.023337  0.024384\n",
      "20       可口可乐  0.069449  0.055620  0.061501\n",
      "21       百事可乐  0.068482  0.047063  0.057572\n",
      "22  Vita维他柠檬茶  0.026748  0.019837  0.020862\n",
      "23       农夫山泉  0.067918  0.163750  0.071796\n",
      "24         红牛  0.044393  0.030338  0.047142\n",
      "25      阿萨姆奶茶  0.035047  0.028005  0.038878\n",
      "26      无糖乌龙茶  0.027393  0.023726  0.039420\n",
      "27       浓缩橙汁  0.039881  0.025671  0.043620\n",
      "28     康师傅冰红茶  0.053980  0.043563  0.063397\n",
      "29         脉动  0.060103  0.031894  0.057708\n"
     ]
    }
   ],
   "source": [
    "# 计算总销售额、销售数量和盈利额\n",
    "total_sales = df['销售额（元）'].sum()\n",
    "total_quantity = df['销售数量（个）'].sum()\n",
    "total_profit = df['盈利额（元）'].sum()\n",
    "\n",
    "# 计算每个商品的贡献度\n",
    "df['销售额贡献度'] = df['销售额（元）'] / total_sales\n",
    "df['销售数量贡献度'析：\")\n",
    "print(df[['商品名称', '销售额贡献度', '销售数量贡献度', '盈利额贡献度']])\n",
    "] = df['销售数量（个）'] / total_quantity\n",
    "df['盈利额贡献度'] = df['盈利额（元）'] / total_profit\n",
    "\n",
    "# 显示结果\n",
    "print(\"商品销售贡献度分\n",
    "# 如果需要，也可以将结果输出到Excel文件\n",
    "df.to_excel('商品销售贡献度分析.xlsx', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a8290c18",
   "metadata": {},
   "outputs": [],
   "source": []
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  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3ebc0ea0",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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